euclidean_probability: Find Probability of Match Based on Similarity
In zoomerjoin: Superlatively Fast Fuzzy Joins
View source: R/lsh_properties.R
euclidean_probability R Documentation
Find Probability of Match Based on Similarity
Description
Find Probability of Match Based on Similarity
Usage
euclidean_probability(distance, n_bands, band_width, r)
Arguments
distance
the euclidian distance between the two vectors you want to
compare.
n_bands
The number of LSH bands used in hashing.
band_width
The number of hashes in each band.
r
the "r" hyperparameter used to govern the sensitivity of the hash.
Value
a decimal number giving the proability that the two items will be
returned as a candidate pair from the minihash algorithm.
zoomerjoin documentation built on April 13, 2025, 9:08 a.m.
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View source: R/lsh_properties.R
| euclidean_probability | R Documentation |
Find Probability of Match Based on Similarity
Description
Find Probability of Match Based on Similarity
Usage
euclidean_probability(distance, n_bands, band_width, r)
Arguments
distance |
the euclidian distance between the two vectors you want to compare. |
n_bands |
The number of LSH bands used in hashing. |
band_width |
The number of hashes in each band. |
r |
the "r" hyperparameter used to govern the sensitivity of the hash. |
Value
a decimal number giving the proability that the two items will be returned as a candidate pair from the minihash algorithm.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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